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Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future change. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products.
Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future change. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products.
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Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. We are seeking a Senior AWS AI Engineer to join our growing AI engineering team.
Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. We are seeking a Senior AWS AI Engineer to join our growing AI engineering team.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
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To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by drones and AI.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by drones and AI.
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To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
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Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
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Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Contribute to AI documentation such as model cards and risk assessments - In Northern Europe, at Unit level (Belgium, Germany, Switzerland and Austria) we are accelerating an ambitious AI-driven transformation to reshape how assistance is delivered across: Mobility (roadside assistance), travel assistance, travel claims, customer service, fraud & leakage, sales, and support functions - Our objective: industrialize AI at scale to improve: Operational efficiency, customer experience, decision-making, and automation and productivity. All within a strong framework of governance, compliance, and responsible AI. As an AI Engineer, you will have a Transformation role and will design, build, deploy, and operate AI solutions that support real operational use cases across the 4 countries ...
Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Contribute to AI documentation such as model cards and risk assessments - In Northern Europe, at Unit level (Belgium, Germany, Switzerland and Austria) we are accelerating an ambitious AI-driven transformation to reshape how assistance is delivered across: Mobility (roadside assistance), travel assistance, travel claims, customer service, fraud & leakage, sales, and support functions - Our objective: industrialize AI at scale to improve: Operational efficiency, customer experience, decision-making, and automation and productivity. All within a strong framework of governance, compliance, and responsible AI. As an AI Engineer, you will have a Transformation role and will design, build, deploy, and operate AI solutions that support real operational use cases across the 4 countries ...
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To support its growth in Belgium, the company is looking for a hands-on Business Development Lead who will play a key role in expanding the local business, driving revenue, and establishing the company as a market leader in AI-driven digital solutions. Our client is a leading European digital agency specialized in the design and development of AI-native digital products (mobiel, web, agents) for customers across different industries. This new model significantly accelerates delivery timelines and reduces costs, positioning the company as a disruptive player in the digital services and software industry. * Promote a disruptive value proposition combining AI-powered software and services * Re-engage existing and past clients with the new AI-driven offering * Create impactful messaging around the company's AI capabilities
To support its growth in Belgium, the company is looking for a hands-on Business Development Lead who will play a key role in expanding the local business, driving revenue, and establishing the company as a market leader in AI-driven digital solutions. Our client is a leading European digital agency specialized in the design and development of AI-native digital products (mobiel, web, agents) for customers across different industries. This new model significantly accelerates delivery timelines and reduces costs, positioning the company as a disruptive player in the digital services and software industry. * Promote a disruptive value proposition combining AI-powered software and services * Re-engage existing and past clients with the new AI-driven offering * Create impactful messaging around the company's AI capabilities
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Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights.
Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights.
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Since a few years we are expanding our cybersecurity and AI security team to bring that same trusted, independent perspective to the digital world. Safety can no longer be guaranteed without addressing cybersecurity and AI security. A connected machine, an AI-driven process, or a digital product carries risks that are just as real as a faulty industrial process, and the consequences of getting it wrong can be just as severe. We approach cybersecurity and AI security the way we have always approached safety: independently, rigorously, and from a position of trust. A wave of new regulation (NIS2, the Cyber Resilience Act (CRA), the AI Act, the Machinery Regulation) is creating both urgency and opportunity. * Conduct independent cybersecurity and AI security assessments, penetration tests, and third-party risk assessments;
Since a few years we are expanding our cybersecurity and AI security team to bring that same trusted, independent perspective to the digital world. Safety can no longer be guaranteed without addressing cybersecurity and AI security. A connected machine, an AI-driven process, or a digital product carries risks that are just as real as a faulty industrial process, and the consequences of getting it wrong can be just as severe. We approach cybersecurity and AI security the way we have always approached safety: independently, rigorously, and from a position of trust. A wave of new regulation (NIS2, the Cyber Resilience Act (CRA), the AI Act, the Machinery Regulation) is creating both urgency and opportunity. * Conduct independent cybersecurity and AI security assessments, penetration tests, and third-party risk assessments;
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
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Contribute to the implementation of new tools and technologies, including AI-enabled solutions * Participate in discussions around pricing, profitability, payment terms, and business model optimization * Interest in automation, process optimization and AI-driven workflows
Contribute to the implementation of new tools and technologies, including AI-enabled solutions * Participate in discussions around pricing, profitability, payment terms, and business model optimization * Interest in automation, process optimization and AI-driven workflows
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Capco's AI Lab - The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. , secure and scalable AI deployment. * Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability. * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and ) to ensure reliability and maintainability of AI systems. * Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows. * Work closely with to translate business requirements into secure, compliant, and scalable AI-driven solutions. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, ...
Capco's AI Lab - The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. , secure and scalable AI deployment. * Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability. * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and ) to ensure reliability and maintainability of AI systems. * Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows. * Work closely with to translate business requirements into secure, compliant, and scalable AI-driven solutions. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, ...
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where - Are you passionate about data-driven platforms, machine learning models, and innovative applications? For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where - Are you passionate about data-driven platforms, machine learning models, and innovative applications? For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models ...
You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. * Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products. Your Impact We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments. You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge ...
You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. * Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products. Your Impact We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments. You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge ...
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You are not just selling; you are a strategic advisor helping customers navigate their most complex challenges in Data Transformation, AI/ML implementation, and the integration of cutting-edge foundational models like Gemini. We complement these partnerships with in-depth Cyber, Data & AI and Software development. The next revolution is here: We are ready to guide you through the AI era. We are now harnessing Responsible AI to unlock a future where technology is a direct driver of positive change and business advantage. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this ...
You are not just selling; you are a strategic advisor helping customers navigate their most complex challenges in Data Transformation, AI/ML implementation, and the integration of cutting-edge foundational models like Gemini. We complement these partnerships with in-depth Cyber, Data & AI and Software development. The next revolution is here: We are ready to guide you through the AI era. We are now harnessing Responsible AI to unlock a future where technology is a direct driver of positive change and business advantage. As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this ...
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where drives positive - We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where drives positive - We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 * Design, develop, and deploy machine learning models and algorithms * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
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AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. Now, with responsible AI, we're ready to unlock a future where technology drives positive change.
AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform. Now, with responsible AI, we're ready to unlock a future where technology drives positive change.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." Technical Excellence & AI Innovation * AI Advocacy: Champion an "early adopter" mindset by actively integrating modern AI innovations and advanced tools directly into client projects and internal workflows. * A flexible, hybrid work model balancing remote productivity with collaborative office sessions.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. Your Mission: "Lead and scale our Microsoft Data tribe, driving cutting-edge AI innovation, pre-sales growth, and elite enterprise consulting across Belgium." Technical Excellence & AI Innovation * AI Advocacy: Champion an "early adopter" mindset by actively integrating modern AI innovations and advanced tools directly into client projects and internal workflows. * A flexible, hybrid work model balancing remote productivity with collaborative office sessions.
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where technology drives positive change * Flexibility: A hybrid work model, combining remote work and work at the brand-new office in Machelen (featuring a fabulous rooftop!)
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where technology drives positive change * Flexibility: A hybrid work model, combining remote work and work at the brand-new office in Machelen (featuring a fabulous rooftop!)
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
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Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
Inoopa is a cutting-edge AI-powered B2B data intelligence platform revolutionizing how companies access and leverage business data. * Ability to grasp AI and data technology concepts quickly - Attractive Commission-Based Model
Sitemark is the AI and robotics platform for building and operating renewable energy. That's why we built Sitemark: AI and robotics take the repetitive load off these teams, from the field to the office, so their time goes to what matters — and sites get built faster and perform better. * It's not vibe-coding — AI is leverage for engineers who deeply understand their systems, not a shortcut around real engineering. AI handles much of the writing, which frees you to work at a higher level — on the product, the architecture, and the problems worth solving. * Build with AI as your default: direct it, review it, and ship far more than you could by hand — without ever shipping something you don't understand or can't stand behind. * You believe the future of engineering is building systems that write code, and you already build this way — with real, hands-on experience using AI coding ...
Sitemark is the AI and robotics platform for building and operating renewable energy. That's why we built Sitemark: AI and robotics take the repetitive load off these teams, from the field to the office, so their time goes to what matters — and sites get built faster and perform better. * It's not vibe-coding — AI is leverage for engineers who deeply understand their systems, not a shortcut around real engineering. AI handles much of the writing, which frees you to work at a higher level — on the product, the architecture, and the problems worth solving. * Build with AI as your default: direct it, review it, and ship far more than you could by hand — without ever shipping something you don't understand or can't stand behind. * You believe the future of engineering is building systems that write code, and you already build this way — with real, hands-on experience using AI coding ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where * You will be a 'role model' for the more junior people in the team
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where * You will be a 'role model' for the more junior people in the team
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